[R-meta] contour enhanced funnel plots when using function of sample size
@c @end|ng |rom |mb|@un|-|re|burg@de
Tue May 24 11:59:50 CEST 2022
Am 24.05.22 um 10:46 schrieb Brendan Hutchinson:
> My question is specifically whether there is a means of generating a contour enhanced funnel plot with pseudo confidence regions when using a function of sample size on the y axis. According to the R documentation, this isn't possible. I wanted to ask if anyone knew of any means to achieve this or perhaps a workaround (unless this is some inherent issue to the use of a function of sample size that I'm not seeing).
The sample size does not contain any information on the statistical
significance of a study result. For example, for a binary outcome:
> meta::metabin(1, 100, 2, 100)$pval
> meta::metabin(25, 100, 50, 100)$pval
Both studies have a total sample size of 200, however, depending on the
number of events, the studies have very different p-values.
The same argument can be made for a continuous outcome, studies with the
same sample sizes and mean values can have very different standard
deviations leading to different p-values.
Dr. Guido Schwarzer
Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center - University of Freiburg
Postal address: Zinkmattenstr. 6a, D-79108 Freiburg
Mail: sc using imbi.uni-freiburg.de
ORCID iD: https://orcid.org/0000-0001-6214-9087
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